Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Sayantan Bhadra, Umberto Villa, Mark A. Anastasio

Tomographic imaging is in general an ill-posed inverse problem. Typically, a single regularized image estimate of the sought-after object is obtained from tomographic measurements.…